parameter recovery

For each set of graphs: graph 1 - true value (sim) compared to estimated value (fit) graph 2 - difference between true value (sim) and estimated value (fit) faceted by true value

baseline model

beta

general learning model

alpha

beta

general learning with decay model

alpha

beta

decay

gain-loss learning model

alpha gain

alpha loss

beta

gain-loss learning with decay model

alpha gain

alpha loss

beta

decay

gain-loss learning with priors model

alpha gain

alpha loss

beta

initial probs